Interleukin-6 in Heart Failure With Reduced Ejection Fraction and the Effect of Dapagliflozin
Bibliographic record
Abstract
BACKGROUND: Inflammation may play an important pathophysiological role in the development and progression of heart failure (HF). Interleukin (IL)-6 is a circulating cytokine and is the main regulator of the release of C-reactive protein (CRP). OBJECTIVES: The authors examined the association between IL-6 and high-sensitivity (hs)-CRP and outcomes in patients with HFrEF in the DAPA-HF trial and their relationship with the effect of dapagliflozin. METHODS: . The primary outcome was a composite of a worsening HF event or cardiovascular death. IL-6 and hs-CRP were measured at baseline and 12 months (Roche Diagnostics). The associations between IL-6 and hs-CRP and outcomes were adjusted for known prognostic variables, including NT-proBNP. RESULTS: Among 2,940 patients, median IL-6 and hs-CRP at baseline were 6.01 pg/mL (Q1-Q3: 4.18-9.28 pg/mL) and 2.05 mg/L (Q1-Q3: 0.83-4.9 mg/L), respectively. Baseline IL-6 tertiles (T) were: T1 ≤4.72 pg/mL; T2 4.73-7.89 pg/mL; and T3 ≥7.90 pg/mL. The adjusted risks of the primary outcome relative to T1 were as follows: T2 = HR 1.34 (95% CI: 1.04-1.73) and T3 = HR 1.80 (95% CI: 1.41-2.31). A rise in IL-6 between baseline and 12 months was associated with worse outcomes. The beneficial effect of dapagliflozin on the primary outcome was consistent regardless of IL-6 concentration (continuous interaction P = 0.57), with similar results for hs-CRP. Dapagliflozin did not reduce IL-6 or hs-CRP at 12 months. CONCLUSIONS: In DAPA-HF, elevated IL-6 and hs-CRP levels were each associated with the risk of worsening HF or cardiovascular death. Dapagliflozin reduced the risk of adverse outcomes regardless of baseline IL-6 or hs-CRP. (Study to Evaluate the Effect of Dapagliflozin on the Incidence of Worsening Heart Failure or Cardiovascular Death in Patients With Chronic Heart Failure [DAPA-HF]; NCT03036124).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".